Individual courses

Staff of UK public sector bodies can also take individual modules from the MDataGov programme, provided they are sponsored by their employer. Learners working for international organisations and governments outside the UK might also be able to register. Please get in touch with us to inquire whether we can offer a place. Individual courses are currently not available to other leaners. 

Courses offered in Summer 2020

Course NameTypeStart DateDuration
Statistical Computing (R Programming) Full (nc) 15 June 11 weeks
Statistical Computing - Part 1 (Data Management and Graphics in R) Half (nc) 15 June 6 weeks
Statistical Computing - Part 2 (Advanced Programming, Shiny and RMarkdown) Half (nc) 27 July 5 weeks
Data Programming in Python Full (nc) 15 June 11 weeks
Data Programming in Python - Part 1 (Introduction to Programming in Python) Half (nc) 15 June 5 weeks
Data Programming in Python - Part 2 (Data Science in Python) Half (nc) 20 July 6 weeks

(Courses marked with (nc) are only available to non-student learners.)

Courses are offered subject to demand. It might not be economical for us to run courses with a very small number of learners. In this case, we will cancel the course and notify you at least one week before the start of each cancelled course. Your employer will not be charged for cancelled courses.

To register for a place complete the registration form for individual courses (MDataGov) and send it, before June 8th, to maths-stats-analyticscpd@glasgow.ac.uk

Unless the availability of a course is restricted you can choose whether you want to take individual courses as a student or as a non-student learner. The table below summarises the main differences between these two options.

 StudentNon-student learner
Student status Part-time postgraduate student No student status
Access to course material
(learning material, videos, etc.)

Yes

Yes
Access to live sessions and/or one-to-one sessions with course tutors

Yes

Yes
Assessments

Student learners need to take the same assessments as students registred for the entire programme.75% of the assessments of each course need to be completed to qualify for the award of credit.

Summative assessments are not available to non-student learners. 
Certificate Higher Education Achievement Report (HEAR) Attendance certificate
(Provided the end of course quiz is attempted at least once)
Half courses (4-7 weeks) available? No Yes
Fee £556 per course (10 credits) £556 per course (10 credits)
£228 per half-course

 

Hardware and software requirements

To take our courses all you need is a computer with an internet connection, an up-to-date version of a standard browser (such as Google Chrome, Firefox, Safari, Internet Explorer or Microsoft Edge) and a PDF reader (such as Acrobat Reader).

Though we encourage learners to install R and/or Python and provide detailed installation instructions, you can also use free cloud-based services (RStudio Cloud and Google Colab) if you prefer not to install R and/or Python on your computer.

You need to install Zoom for participating in videoconferencing sessions. We recommend the use of a headset for videoconferencing sessions.